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Implementation of eLearning in Higher Education using Data Mining Techniques

Yongyi Yang, C. Wu, J. Sinclair


Nowadays Digital Learning plays a major role in Higher Education. Digital support aims to improve the understanding through visualization. Many visualization approaches adopted in digital learning with support of technology. Digital learning is any type of learning that is accompanied by technology or by instructional practice that makes effective use of technology. The changes must be addressed with the certain ranges need to the learning levels of the learners. The various methods involved in digital learning can be studied with the support of Data processing techniques. Data processing shall be done with batch processing, data mining, statistical processing, data visualization, data mapping and data analytics. Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making. It is necessary to process the raw data into useful information. Data analysis helps to make a decisions by deeply analyzing. This article focuses on the implementation of digital learning in Nehru Arts and Science College (NASC) and analyzing the involvement of students in terms of digital learning using data mining techniques.


Digital Learning, SWAYAM, Spoken Tutorials, Edmodo, Active Presenter, Data Mining.

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